数据识别的方法、系统、设备及存储介质
By retrieving highly stable data tables from multiple databases and calculating similar field pairs, the system automatically identifies master data, solving the inefficiency problem caused by scattered master data and achieving efficient master data identification and compliance auditing.
CN115391305BActive Publication Date: 2026-07-17ALIBABA CLOUD COMPUTING CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ALIBABA CLOUD COMPUTING CO LTD
- Filing Date
- 2022-07-20
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In existing technologies, master data is scattered across multiple internal databases, which means that manual identification is the only option, resulting in low work efficiency.
Method used
By obtaining a first and second data table with higher stability than preset standards from multiple databases, calculating similar field pairs based on a similarity algorithm, automatically identifying master data, and using a big data platform for compliance auditing.
Benefits of technology
It enables the automatic retrieval of highly stable master data from multiple databases, improving recognition efficiency, ensuring the high stability and high citation of master data, and avoiding the inefficiency of manual recognition methods.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN115391305B_ABST
Abstract
本申请提出一种数据识别的方法、系统、设备及存储介质，该方法包括：通过应用本申请的技术方案，能够实现从多个数据库中自动获取其中稳定性较高的数据表，并从该稳定性较高的数据表与其他数据表中选取二者包含的稳定性较高以及相互之间存在一定共享关系的字段对。以使后续从该字段对中找到其中包含的主数据。本申请的技术方案一方面可以保证筛取到的主数据的高稳定性以及高引用性。另一方面也可以避免相关技术中出现的，只能依靠人工识别方式来识别数据库中的主数据而导致的工作效率低下的问题。
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